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Machine Reading Comprehension

Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, and then answer questions based on it.

Source: Making Neural Machine Reading Comprehension Faster

Papers

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TitleStatusHype
Multi-task Learning with Sample Re-weighting for Machine Reading ComprehensionCode0
Knowledge Based Machine Reading Comprehension—0
Explicit Utilization of General Knowledge in Machine Reading Comprehension—0
Explicit Contextual Semantics for Text Comprehension—0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension—0
What Makes Reading Comprehension Questions Easier?Code0
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading ComprehensionCode0
Attention-Guided Answer Distillation for Machine Reading Comprehension—0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions—0
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